1. p ersonality in twitter @danielequercia

2. U C L <who am i>

3. U C L daniele quercia

4. U C L

5. U C L

6. U C L

7. U C L

10. o ffline & online

11. <goal>

12. social media language personality social media

13. social media language personality social media

14. social media language personality social media 1

15. social media language personality social media tomorrow (1:15pm)

16. language personality social media now

17. personality twitter

18. Can digital representations of ourselves capture much about human social relations ?

19. Yes No

20. Yes , online activities mirror offline ones No

21. Yes , online activities mirror offline ones No , online activities are radically different

22. Yes , online activities mirror offline ones No , online activities are radically different H ard to test

23. Who we are online offline

25. N= 335 active twitter users (53% women, 47% men) Age 22.7 (geo avg)

26. N= 335 active twitter users (53% women, 47% men) Age 22.7 (geo avg)

27. classify Twitter users & study personality…

28. classify Twitter users & study personality…

29. classify Twitter users & study personality…

30. classify Twitter users & study personality…

31. 1 listeners, popular, & influential: extrovert & emotionally stable 2 highly-read: open to new experiences

33. social media we can build monitoring tools

34. predicting personality with twitter

35. predicting personality with twitter YES, we can!

36. predicting personality with twitter YES, we can! And only using followers, following, listed!

40. What can we do with protected `accounts’?

41. @danielequercia